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numpy.array axis 1

numpy-axis, expand_dims

axis=0 It will act on all the ROWS in each column, means along "indexes". It's a row-wise operation. axis=1 It will act on all the COLUMNS in each row, means along "columns". It's a column-wise operation.a = np.array([[1, 2]])b = np.array([[5, 6]])row_wise=np.concatenate((a, b), axis=0)column_wise=np.concatenate((a, b), axis=1)print(row_wise)print(column_wise)>>>[[1 2] [5 6]] [[1 2 5 6]]- multi ..

Analyze Data/Python Libraries 2023.05.24
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selectall, d3js, randn, classmethod, Filter, Sigmoid function, nvidia-smi, docker-compose, randint, Regular Expression, abstractmethod, kafka, axis, forward propagation, 3D Rotation Matrix, global variable, textdistance, batch size, yield from, zeros,

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